Burl, M. C. and Fayyad, U. M. and Perona, P. and Smyth, P. and Burl, M. P.
(1994)
Automating the Hunt for Volcanoes on Venus.
In:
Proceedings 1994 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
IEEE Computer Society Press
, Los Alamitos, CA, pp. 302-309.
ISBN 0-8186-5825-8.
https://resolver.caltech.edu/CaltechAUTHORS:20120306-142457025
![[img]](https://authors.library.caltech.edu/style/images/fileicons/application_pdf.png)  Preview |
|
PDF
- Published Version
See Usage Policy.
616Kb |
Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20120306-142457025
Abstract
Our long-term goal is to develop a trainable tool for locating patterns of interest in large image databases. Toward this goal we have developed a prototype system, based on classical filtering and statistical pattern recognition techniques, for automatically locating volcanoes in the Magellan SAR database of Venus. Training for the specific volcano-detection task is obtained by synthesizing feature templates (via normalization and principal components analysis) from a small number of examples provided by experts. Candidate regions identified by a focus of attention (FOA) algorithm are classified based on correlations with the feature templates. Preliminary tests show performance comparable to trained human observers.
Item Type: | Book Section |
---|
Related URLs: | |
---|
ORCID: | |
---|
Additional Information: | © 1994 IEEE. Date of Current Version: 06 August 2002. The research described in this report has been carried
out in part by the Jet Propulsion Laboratory, California
Institute of Technology, under contract with the National
Aeronautics and Space Administration. Support was provided
primarily by NASA Office of Advanced Concepts
and Technology (OACT - Code CD), a JPL DDF award,
and NSF research initiation grant IRI 9211651. We would
like to thank geologists Jayne Aubele and Larry Crumpler
of Brown University for their assistance in labeling
and analyzing the Magellan data. We would also like to
thank John Loch, Jennifer Yu, and Joe Roden for help in
developing the software and user-interfaces. |
---|
Funders: | Funding Agency | Grant Number |
---|
NASA/JPL/Caltech | UNSPECIFIED | NASA Office of Advanced Concepts and Technology | UNSPECIFIED | JPL DDF Award | UNSPECIFIED | NSF Research Initiation grant | IRI 9211651 |
|
---|
Other Numbering System: | Other Numbering System Name | Other Numbering System ID |
---|
INSPEC Accession Number | 4777946 |
|
---|
Record Number: | CaltechAUTHORS:20120306-142457025 |
---|
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20120306-142457025 |
---|
Official Citation: | Burl, M.C.; Fayyad, U.M.; Perona, P.; Smyth, P.; Burl, M.P.; , "Automating the hunt for volcanoes on Venus," Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on , vol., no., pp.302-309, 21-23 Jun 1994
doi: 10.1109/CVPR.1994.323844
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=323844&isnumber=7716
|
---|
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. |
---|
ID Code: | 29601 |
---|
Collection: | CaltechAUTHORS |
---|
Deposited By: |
Ruth Sustaita
|
---|
Deposited On: | 13 Mar 2012 18:34 |
---|
Last Modified: | 03 Oct 2019 03:42 |
---|
Repository Staff Only: item control page